What is Data Analytics

**Data Analytics** is the process of collecting, cleaning, organizing, and analyzing data to discover useful insights and support better decision-making.

For example: An online store analyzes customer purchase data to answer questions like:

• Which products sell the most?
• Which month has the highest sales?
• Who are the frequent customers?
• Why are sales increasing or decreasing?

Data Analytics usually includes these steps:

1. Data Collection — Gather data from different sources
2. Data Cleaning — Remove errors, duplicates, or missing values
3. **Data Analysis **— Identify patterns and trends
4. Data Visualization — Present results using charts and dashboards
5. Decision Making — Use insights to improve business performance

Common tools used:

• Excel
• SQL
• Power BI
• Tableau
• Python

“Data Analytics is the process of examining raw data to identify patterns, gain insights, and support business decisions.”